Description

Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs

Colaborating with cross-functional team to define the AI/Gen I requirements

Optimizing the existing GenAI models for performance improvement, scalability, and efficiency

Develop and maintain the AI Pipeline that includes data processing, feature extraction, model training and evaluation

Collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models

Develop the documentation like technical specification, user guides, technical architecture, etc

Skills

Bachelor’s or master’s degree in computer science, Engineering, or a related field

Minimum 5 years of experience in Data Science and Machine Learning

In-depth knowledge of machine learning, deep learning, and generative AI techniques

Knowledge and experience of development and implementing Generative AI models

Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch or Keras

Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face

Strong understanding of frameworks such as BERT, GPT, or Transformer models

Familiar with cloud-based platforms and services, such as AWS, GCP, or Azure

Education

Bachelor's